- Hand-Object Interaction Pretraining from Videos, IEEE ICRA 2025
- Sparse-View 3D Reconstruction of Clothed Humans via Normal Maps, IEEE/CVF WACV 2025
- PBDyG: Position Based Dynamic Gaussians for Motion-Aware Clothed Human Avatars, arXiv preprint, 2024
- Reconstructing Hand-Held Objects in 3D, arXiv preprint, 2024
- Inpaint3D: 3D Scene Content Generation using 2D Inpainting Diffusion, arXiv preprint, 2023
- HazardNet: Road Debris Detection by Augmentation of Synthetic Models, CVPR Workshop on Autonomous Driving (WAD), 2023
- Deep Energies for Estimating Facial Pose and Expression, Communications on Applied Mathematics and Computation, 2023
- Recovering Geometric Information with Learned Texture Perturbations, SCA, 2021
- Skinning a Three-Dimensional Framework for Neural Network Cloth, arXiv preprint, 2020
Research Experience
During her Ph.D., she was a student researcher at Google in the Project Starline team and a part-time R&D software engineer and intern at NVIDIA. Currently, she is a Postdoctoral Fellow in the Electrical Engineering and Computer Science Department at UC Berkeley, advised by Jitendra Malik.
Education
Ph.D. in Computer Science from Stanford University, advised by Ron Fedkiw (Stanford AI Lab)
Background
Research Interests: Designing machine learning models that reason about the geometry and dynamics of the physical 3D world, with applications in AR/VR and robotics.
Miscellany
Personal interests and other: Co-chair of Stanford Grad WiCS